文章基本信息

标题：重み付きクロスバイラテラルフィルタによる奥行き推定精度の向上
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作者：松尾琢也 ; 福嶋慶繁 ; 石橋豊等
期刊名称：映像情報メディア学会誌
印刷版ISSN：1342-6907
电子版ISSN：1881-6908
出版年度：2012
卷号：66
期号：11
页码：J434-J443
DOI：10.3169/itej.66.J434
出版社：The Institute of Image Information and Television Engineers
摘要：In this paper, we propose a refinement filter for depth maps. The filter convolutes an image and a depth map with a cross-computed kernel. We call the filter a weighted cross bilateral filter. The main advantages of the proposed method are the filter fits outlines of objects in the depth map to silhouettes in the image, while the filter reduces Gaussian noise in other areas. Additionally, its computational cost is independent of depth ranges. Thus, we can obtain accurate depth maps at the lower cost than the conventional approaches, which require Markov random field-based optimization methods. Experimental results show that the accuracy of the depth map in edge areas goes up and its running time is low.
关键词：クロスバイラテラルフィルタ;ステレオマッチング;奥行き画像;奥行き画像改善フィルタ;ポストフィルタリング